Automation index
How much of a Quality technician’s job can AI already do?
A statistical check and an 8D come earlier. Stopping the line and deciding if the batch ships do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Quality technician
29%
AI can already do 29% of this job.
#71 / 623
View rankingQuality technician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Inspection, measurements and statistical control.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Nonconformities, 8D and corrective actions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Stop the line, sample and decide the batch.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Internal audits, ISO and traceability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Suppliers, incoming goods and complaints.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Release judgement and liability for the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- quality control
- measure parts
- release batches
- raise nonconformities
- run 8D
- audit ISO
- sample production
- stop the line
Sources for this job· O*NET 51-9061.00· ESCO/ISCO 7543
IS WORK OVER?
Data engineer
31%
#36 / 623
View rankingData engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511